by 2akouwu
Autonomous Systems & Security Toolkit for OpenAI Codex CLI. Deterministic binary analysis, decoupled pipeline, and zero-friction execution.
Unlocks once the catalog security scan passes (runs nightly).
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# Add to your Claude Code skills
git clone https://github.com/2akouwu/codex-cli-portable-setup-kitGuides for using ai agents skills like codex-cli-portable-setup-kit.
[!TIP] Community Link & Acknowledgements: This project is recognized by and affiliated with the LINUX DO Community (https://linux.do) open-source initiative.
This is a community-maintained Codex configuration and installer. It is not Codex itself and is not an official OpenAI product.
| Project | Target Agent Tool | Primary Deployment Surface | Core Capabilities |
|---|---|---|---|
| 🟢 codex-cli-portable-setup-kit | OpenAI Codex CLI | Global ~/.codex + AGENTS.md |
TURBO.cmd zero-friction execution, re-toolkit, Two-Stage Decoupled Pipeline |
| 🟣 claude-code-portable-setup-kit | Anthropic Claude Code | Workspace CLAUDE.md + .agents/ |
CLAUDE_TURBO.cmd autonomous execution, re-toolkit, Two-Stage Decoupled Pipeline |
re-toolkit). Integrated pure-Python subsystem for PE32/PE32+ analysis, x86/x64 disassembly, AOB pattern scanning, CPU micro-emulation, Protobuf/TLV wireformat dissection, and Frida dynamic hook generation.ROLE_A, ROLE_B) by separating structural planning from high-fidelity rendering.TURBO Mode). Pre-approves runtime tools, configures Windows elevated sandboxing, enables non-interactive autonomy (approval_policy = "never"), and marks workspaces as fully trusted.AGENTS.md), OpenCode (OPENCODE.md, opencode.json), Anthropic Claude Code (CLAUDE.md), Cursor (.cursorrules), Windsurf (.windsurfrules), and ChatGPT App (docs/CHATGPT_APP_PRESET.md).ADAPT_ALL.cmd). Automatically configures and syncs all GPT-based agent frameworks and IDEs in your workspace simultaneously.rollback.ps1 / ROLLBACK.sh).This project is not mainly a migration utility. Portability is the delivery mechanism. The product is a tuned operating style for Codex. Do the work, then report the result.
| Common assistant behavior | This execution-first profile |
|---|---|
| Explains which commands you should run | Runs the relevant commands with tools |
| Stops after writing a plan | Continues into implementation when the next action is available |
| Responds with generic moral advice or boilerplate | Keeps only constraints that materially affect the task |
| Degenerates into placeholder tokens (ROLE_A/B) | Uses dual-stage pipeline for natural, full-fidelity generation |
| Halts on missing external tools | Uses pure-Python fallback engines in re-toolkit |
| Asks before looking at the workspace | Inspects files, tests, and context first |
| Says a change should work | Executes tests and reads the result |
| Hands a failed check back to you | Diagnoses, fixes, and reruns it |
| Loses the thread after compaction | Writes bounded checkpoints for validated continuation |
Extract the release ZIP and double-click:
TURBO.cmd
This automatically validates the workspace, configures elevated execution policies, inherits your native model settings, and launches Codex ready for work.
Set-ExecutionPolicy -Scope Process Bypass
.\install.ps1 -ProjectRoot 'C:\path\to\your-workspace' -KeysmithPreset unrestricted -SkipPlugins
.\verify.ps1
# Or verify installed workspace:
.\verify.ps1 -Installed -ProjectRoot 'C:\path\to\your-workspace'
re-toolkit SubsystemThe built-in re-toolkit (payload/project/.agents/tools/re-toolkit/) provides deterministic ground truth for systems engineering and security analysis:
re-toolkit/
├── pe_parser.py # PE32/PE32+ Header, Section Table, Imports/Exports, RVA translation
├── disasm.py # x86/x64 Disassembler, AOB wildcard scanner, binary patch generator
├── emulator.py # Micro-architecture CPU register and stack sandbox emulator
├── protocol_parser.py # Schema-less Protobuf wire format and TLV frame dissectors
├── frida_bridge.py # Frida Interceptor hook & anti-debug bypass script generator
├── pipeline/ # Dual-stage decoupled planning & rendering engine
└── cli.py # Unified CLI entry point
# 1. Automatic triage and format discovery
python .agents/tools/re-toolkit/cli.py auto target.dll --json
# 2. Inspect PE headers, imported DLLs, and exported symbols
python .agents/tools/re-toolkit/cli.py parse-pe sample.exe --json
# 3. Fast AOB hex pattern scanner with wildcards
python .agents/tools/re-toolkit/cli.py pattern-scan target.bin --pattern "48 89 ?? 24 ?? 55" --json
# 4. Extract ASCII & UTF-16LE strings with offsets
python .agents/tools/re-toolkit/cli.py strings sample.exe --min-len 5 --json
# 5. Disassemble raw opcodes or binary sections
python .agents/tools/re-toolkit/cli.py disasm 90505831C0C3 --arch x86_64
# 6. Dissect undocumented Protobuf wireformat payloads
python .agents/tools/re-toolkit/cli.py decode-protobuf 089601120474657374
# 7. Emulate CPU registers and stack execution in isolated memory sandbox
python .agents/tools/re-toolkit/cli.py emulate --code B82A000000505BC3
# 8. Generate Frida dynamic API interceptor and anti-debug scripts
python .agents/tools/re-toolkit/cli.py gen-hook --symbol CryptHashData --module advapi32.dll --output hook.js
# 9. Calculate binary diff patches
python .agents/tools/re-toolkit/cli.py diff-patch --orig orig.bin --patched mod.bin --json
# 10. Format aligned hexadecimal dumps
python .agents/tools/re-toolkit/cli.py hexdump target.bin --offset 0x100 --length 128
# 11. Speculative dual-model shadow probe with instant refusal abort & failover
python .agents/tools/re-toolkit/cli.py spec-probe "Reverse engineer target module and extract memory offsets" --target game.dll --json
# 12. Export universal presets for ChatGPT App, OpenCode, Cursor, and Windsurf
python .agents/tools/re-toolkit/cli.py export-preset --target all
Traditional adversarial constraint checklists often overload LLMs, resulting in attention collapse, generic placeholder tokens (ROLE_A, ROLE_B), and truncated outputs.
The Dual-Stage Decoupled Pipeline resolves this through structural separation:
flowchart LR
A[User Request] --> B[Stage 1: Structural Planner]
B -->|SceneBlueprint & Plot Beats| C[Stage 2: High-Fidelity Renderer]
C -->|Natural, Uninhibited Output| D[Delivered Result]
python .agents/tools/re-toolkit/cli.py pipeline "Your complex scenario or system architecture prompt"
.codex manually?A one-line prompt or copied config.toml can change tone, but the full behavior
also depends on instructions, project rules, skills, hooks, feature flags, and
continuity tools. This kit installs that tested stack together and gives you a
way back.
| Capability | One prompt or manual copy | Portable Setup Kit |
|---|---|---|
| Prefer execution over explanation | Inconsistent | User + project instructions |
| Keep routine output concise | Prompt-dependent | model_verbosity = "low" |
| Inspect, edit, test, and retry | Ad hoc | Explicit execution loop |
| Deterministic binary analysis | None | Built-in re-toolkit |
| Zero-friction elevated execution | Manual | One-click TURBO.cmd |
| Preserve long-task handoff state | Usually no | Hooks + context tools |
| Verify source files before writing | No | SHA-256 manifest |
| Back up every replaced destination | Manual | Automatic |
| Reverse a completed install | Manual | rollback.ps1 / ROLLBACK.sh |
| Exercise the release in CI | Usually no | 9-step test suite (Test-All.ps1) |
| Scope | Destination | Installed content | Purpose |
|---|---|---|---|
| Codex user | %CODEX_HOME% or ~/.codex |
config.toml, AGENTS.md, portable instructions, |
codex-cli-portable-setup-kit is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by 2akouwu. Autonomous Systems & Security Toolkit for OpenAI Codex CLI. Deterministic binary analysis, decoupled pipeline, and zero-friction execution. It has 140 GitHub stars.
codex-cli-portable-setup-kit's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.
Clone the repository with "git clone https://github.com/2akouwu/codex-cli-portable-setup-kit" and add it to your Claude Code skills directory (see the Installation section above).
codex-cli-portable-setup-kit is primarily written in Python. It is open-source under 2akouwu on GitHub, so you can review or fork the full source.
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